The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition
Abstract
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image was rarely studied in the literature, where no temporal information among successive images can be exploited, making the problem very challenging. In this paper, we propose a single-image-based rain removal framework via properly formulating rain removal as an image decomposition problem based on morphological component analysis. Instead of directly applying a conventional image decomposition technique, the proposed method first decomposes an image into the low- and high-frequency (HF) parts using a bilateral filter. The HF part is then decomposed into a "rain component" and a "nonrain component" by performing dictionary learning and sparse coding. As a result, the rain component can be successfully removed from the image while preserving most original image details. Experimental results demonstrate the efficacy of the proposed algorithm.
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Cites
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Speeded-Up Robust Features (SURF)
Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.09.014 · Cited by 13,557
Bilateral Filtering for Gray and Color Images
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
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Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
Elad, M., & Aharon, M. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.881969 · Cited by 5,321
Locality-constrained Linear Coding for image classification
Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540018 · Cited by 3,100
Sparse Representation for Color Image Restoration
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Cited by
Density-Aware Single Image De-raining Using a Multi-stream Dense Network
Zhang, H., & Patel, V. M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00079 · Cited by 1,066
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Fu, X., Huang, J., Ding, X., Liao, Y., & Paisley, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2691802 · Cited by 940
Removing Rain from a Single Image via Discriminative Sparse Coding
Luo, Y., Xu, Y., & Ji, H. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.388 · Cited by 837
All in One Bad Weather Removal Using Architectural Search
Li, R., Tan, R. T., & Cheong, L.-F. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00324 · Cited by 377
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos
Liu, J., Yang, W., Yang, S., & Guo, Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00341 · Cited by 193
Metadata
- Authors
- Kang, L.-W., Lin, C.-W., & Fu, Y.-H.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2012-04
- Volume
- 21
- Issue
- 4
- Pages
- 1742-1755
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2121396509
- Cited by
- 905
- References
- 8
- FWCI
- 14.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kang, L.-W., Lin, C.-W., & Fu, Y.-H. (2012). Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2011.2179057
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